Explaining Individual Differences in Motor Behavior by Intrinsic Functional Connectivity and Corticospinal Excitability.
excitability
functional connectivity
individual differences
motor skill
motor-evoked-potentials
transcranial magnetic stimulation
Journal
Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481
Informations de publication
Date de publication:
2020
2020
Historique:
received:
31
08
2019
accepted:
20
01
2020
entrez:
3
3
2020
pubmed:
3
3
2020
medline:
3
3
2020
Statut:
epublish
Résumé
Motor performance varies substantially between individuals. This variance is rooted in individuals' innate motor abilities, and should thus have a neural signature underlying these differences in behavior. Could these individual differences be detectable with neural measurements acquired at rest? Here, we tested the hypothesis that motor performance can be predicted by resting motor-system functional connectivity and motor-evoked-potentials (MEPs) induced by non-invasive brain stimulation. Twenty healthy right handed subjects performed structural and resting-state fMRI scans. On a separate day, MEPs were measured using transcranial magnetic stimulation (TMS) over the contrateral primary motor cortex (M1). At the end of the session, participants performed a finger-tapping task using their left non-dominant hand. Resting-state functional connectivity between the contralateral M1 and the supplementary motor area (SMA) predicted motor task performance, indicating that individuals with stronger resting M1-SMA functional connectivity exhibit better motor performance. This prediction was neither improved nor reduced by the addition of corticospinal excitability to the model. These results confirm that motor behavior can be predicted from neural measurements acquired prior to task performance, primarily relying on resting functional connectivity rather than corticospinal excitability. The ability to predict motor performance from resting neural markers, provides an opportunity to identify the extent of successful rehabilitation following neurological damage.
Identifiants
pubmed: 32116520
doi: 10.3389/fnins.2020.00076
pmc: PMC7025558
doi:
Types de publication
Journal Article
Langues
eng
Pagination
76Informations de copyright
Copyright © 2020 Herszage, Dayan, Sharon and Censor.
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